linghui-wu

cgoes

Research by Carlos Góes

tuixue.online-visa

https://tuixue.online/visa/ A Real-time Display of U.S. Visa Appointment Status Website 预约美帝签证各个签证处最早时间的爬虫

juliaimages.github.io

Documentation For JuliaImages

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

beamer-tips

fnc

Fundamentals of Numerical Computation text, Julia version for the MATLAB (1st) edition.

grad-apps-template

Be organized when applying to graduate school

mat2tex

little stata program to generate body of LaTeX tables from a stata matrix (adapted from mat2txt)

regife

Stata command to estimate models with interactive fixed effects (Bai 2009)

InteractiveFixedEffectModels.jl

Interactive Fixed Effect Models — Bai (2009)

genlasso

Path algorithm for generalized lasso problems

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

StatsModels.jl

Specifying, fitting, and evaluating statistical models in Julia

FixedEffectModels.jl

Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables

KNITRO.jl

A Julia interface to the Artelys Knitro solver

annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

Optim.jl

Optimization functions for Julia

sort-google-scholar

Sorting Google Scholar search results based on the number of citations

ppmlhdfe

Poisson pseudo-likelihood regression with multiple levels of fixed effects

pyblp

BLP Demand Estimation with Python

dynamic-discrete-choice

Matlab package for learning to specify, compute, and estimate dynamic discrete choice models

ppml_fe_bias

bias corrections for PPML estimation of two-way and three-way fixed effects models

Guide2EconRA

projecttemplate

Common starting point for research projects

stat302

notes from my 302 class on Bayesian methods and principles of statistics

learn_python

Introduction to Scientific Computing with Python

Math4Econ

Mathematics for Economists (Matlab Live Codes)

HARK

Heterogenous Agents Resources & toolKit

Tutorials-Homework-Notebooks

This repository has the tutorial notebooks which you will be using for your HW. The notebooks will largely be run on COLAB.

bayeslm